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Estimation of effective b-value for a diffusion-weighted double-echo steady-state sequence with bipolar gradients.

Ulrich Katscher1, Jakob Meineke1, Shuo Zhang2

  • 1Philips Research Europe, Roentgenstrasse 24-26, 22335 Hamburg, Germany.

Magnetic Resonance Imaging
|October 20, 2023
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Summary

A new method accurately calculates the effective b-value (b’) for diffusion-weighted double-echo steady-state (dwDESS) MRI. This advance enables reliable apparent diffusion coefficient (ADC) measurements, crucial for clinical applications of this distortion-free imaging technique.

Keywords:
B-valueDiffusion weighted imagingDouble-echo steady-state sequenceGradient spoiling

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Area of Science:

  • Magnetic Resonance Imaging
  • Diffusion Weighted Imaging
  • Medical Physics

Background:

  • Diffusion-weighted double-echo steady-state (dwDESS) MRI offers distortion-free and motion-insensitive diffusion-weighted images (DWI).
  • Clinical adoption is limited by the lack of a method to determine the effective b-value for dwDESS sequences.

Purpose of the Study:

  • To adapt a signal model for dwDESS MRI with bipolar diffusion gradients.
  • To enable the explicit calculation of an effective b-value (b') for dwDESS DWI.

Main Methods:

  • Adapted a previously described signal model for dwDESS sequences with bipolar diffusion gradients.
  • Evaluated the model using phantom examinations on a 1.5 T clinical MRI system.
  • Compared experimental results with theoretical predictions and standard EPI-DWI sequences.

Main Results:

  • The adapted signal model accurately described experimental results for dwDESS MRI.
  • The effective b-value (b') was successfully estimated.
  • Apparent diffusion coefficient (ADC) values derived from b' (ADC') aligned with conventional ADC measurements.

Conclusions:

  • The developed method effectively calculates the b-value for dwDESS MRI.
  • This facilitates accurate ADC' quantification, supporting clinical translation.
  • dwDESS MRI shows promise for reliable diffusion measurements free from geometric distortions.